EAPConfig-class: EAP configuration

In RSCAT: Shadow-Test Approach to Computerized Adaptive Testing

Description

An S4 class to represent expected A posteriori (EAP) scoring algorithm configuration.

Details

An instance of this S4 class can be applied to the generic function scoreMethodConfig to create an Java object for scoring method configuration.

Slots

numQuad

a positive integer specifying the number of quadrature points

minQuad

a numeric value specifying the minimum quadrature point

maxQuad

a numeric value specifying the maximum quadrature point

priorDistType

a character string specifying the prior distribution of ability. "Normal" for Normal distribution and "Uniform" for uniform distribution.

distParams

a numeric vector specifying parameters of the prior distribution. (mean, sd) for the Normal distribution, (a, b) for the uniform distribution.

RSCAT documentation built on Oct. 12, 2021, 5:06 p.m.